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# AI Engineer

- **Company:** CareerCircle
- **Location:** Linthicum Heights, MD, United States
- **Experience:** Expert
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Agile Methodology, Artificial Intelligence, Computing Platforms, Systems Engineering, Artificial Neural Networks, Automated Storage and Retrieval Systems, JIRA, Automation of Tests, Bioinformatics, C++ (Programming Language), Profiling, Signals Intelligence, Databases, Data Validation, Data Cleansing, Data Deduplication, Information Engineering, Data Transformation, Data Stores, Data Visualization, Decision Support Systems, Data Intelligence, Python (Programming Language), Key Management, Knowledge-Based Systems, Machine Learning, Metadata, Language Modeling, Rapid Prototyping Process, Power BI, Salesforce.Com, Search Technologies, Software Engineering, Systems Integration, Tableau (Software), Tokenization, Unstructured Data, Software Vulnerability Management, Rust (Programming Language), Data Processing, Computer Network Operations, Data Ingestion, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Malware, Git, Information Technology, Feature Extraction, Virtual Agents, Cyber Warfare, Software Version Control, Data Pipelines
- **Published:** September 9, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/md/ft-meade/ba63e053-50ef-447a-8bcc-ca2129b5b381

## About the Role

Metadata
Chunking
Operations
Management
Purchasing
Upskilling
Agentic AI
Scalability
Market Data
Coordinating
Benchmarking
Cryptography
Tokenization
Deep Learning
Task Planning
Data Ingestion
Key Management
Data Pipelines
Hallucinations
Data Validation
Ancient History
Computer Science
Machine Learning
Business Metrics
Rapid Prototyping
Unstructured Data
Analytical Method
Performance Metric
Feature Extraction
Prompt Engineering
Workflow Management
Workflow Automation
Technology Research
Multi-Agent Systems
Time Off Management
Security Engineering
Signals Intelligence
Information Discovery
Prototype Development
Packaging And Labeling
Artificial Intelligence
Large Language Modeling
Knowledge-Based Systems
Artificial Neural Networks
Computer Network Operations
Hyperparameter Optimization
Python (Programming Language), Seeking motivated Senior AI Engineers to support high-impact mission opportunities applying Artificial Intelligence and Machine Learning to complex data and analytic challenges. Engineers will work with mission stakeholders to translate operational needs into secure, scalable AI capabilities spanning machine learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, and advanced knowledge systems. The ideal candidate combines strong AI/ML fundamentals with hands-on engineering experience and understands how to evaluate, deploy, secure, and sustain AI capabilities throughout their lifecycle., * Technical Proficiency: Design, develop, integrate, test, and optimize AI/ML applications using Python and modern AI frameworks. Apply supervised, unsupervised, semi-supervised, and deep learning techniques, including classification, clustering, recommendation approaches, neural networks, and transformer architectures. Develop LLM applications using prompt engineering, embeddings, context management, chunking, and retrieval techniques. Design RAG architectures incorporating document ingestion, vector search, metadata, reranking, and hybrid semantic/keyword retrieval. Develop agentic AI workflows capable of task planning, tool use, multi-step execution, workflow automation, and multi-agent coordination. Build data pipelines supporting preprocessing, feature extraction, data validation, deduplication, labeling, and augmentation. Optimize models through model selection, fine-tuning, hyperparameter tuning, benchmarking, and latency-versus-accuracy analysis.

 * Qualifications: Bachelor's degree in computer science, plus 8-years of relevant experience or equivalent. Strong proficiency with Python and demonstrated experience designing or developing AI/ML solutions. Understanding of the complete AI lifecycle from data ingestion and model development through deployment, monitoring, and sustainment.
 * Security Clearance: Active TS/SCI with Polygraph required to be considered for this role.
 * Desirable Skills: Knowledge of customer corporate tools, data repositories, and secure mission computing environments is highly desirable. Experience with Large Language Models and Generative AI, including tokenization, embeddings, attention concepts, prompt engineering, context management, and LLM interfaces. Experience developing or integrating RAG, vector search, or knowledge retrieval systems. Understanding of machine learning and statistical fundamentals, model training and validation, performance metrics, bias/variance considerations, and experimentation. Experience evaluating AI systems for accuracy, relevance, groundedness, hallucination, robustness, and scalability., Deep Learning
Task Planning
Data Ingestion
Key Management
Data Pipelines
Hallucinations
Data Validation
Ancient History
Computer Science
Machine Learning
Business Metrics
Rapid Prototyping
Unstructured Data
Analytical Method
Performance Metric
Feature Extraction
Prompt Engineering
Workflow Management
Workflow Automation
Technology Research
Multi-Agent Systems
Time Off Management
Security Engineering
Signals Intelligence
Information Discovery
Prototype Development
Packaging And Labeling
Artificial Intelligence
Large Language Modeling
Knowledge-Based Systems
Artificial Neural Networks
Computer Network Operations
Hyperparameter Optimization
Python (Programming Language)

## Description

* Mission Focus: Collaborate with mission stakeholders, analysts, data scientists, and engineers to understand operational challenges and translate requirements into effective AI/ML solutions. Design and develop capabilities for knowledge extraction, information discovery, summarization, decision support, workflow automation, and analysis of structured and unstructured data. Build solutions capable of processing large, complex, and potentially multilingual datasets while ensuring that AI-generated results are relevant, traceable, and useful to mission users., All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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